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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Ferraz, Franz Miller Branco
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2024A comprehensive mean-field approach to simulate the microstructure during the hot forming of Ti-17citations
- 2024A predictive mesoscale model for continuous dynamic recrystallizationcitations
- 2023Microstructure refinement of a cast high entropy alloy by thermomechanical treatmentscitations
- 2023Thermomechanical treatments for a dual phase cast high entropy alloycitations
- 2023Metamodelling the hot deformation behaviour of titanium alloys using a mean-field approachcitations
- 2023Hot deformation mechanisms of dual phase high entropy alloyscitations
- 2020Improved Predictability of Microstructure Evolution during Hot Deformation of Titanium Alloyscitations
- 2020Characterization and modelling the flow localization in titanium alloys during hot forming
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article
A predictive mesoscale model for continuous dynamic recrystallization
Abstract
<p>Thermomechanical processing of titanium alloys often requires complex routes to achieve the desired final microstructure. Recent advances in modeling and simulation tools have facilitated the optimization of these processing routes. However, existing models often fail to accurately predict microstructural changes at large deformations. In this study, we refine the physical principles of an existing mean-field model and propose a calibration method that uses experimental results under isothermal conditions, accounting for the actual local deformation within the workpiece. This new approach improves the predictability of microstructural changes due to continuous dynamic recrystallization during torsion and compression experiments. Additionally, we integrate the model into the commercial FEM-based DEFORM™ 2D software to predict the local microstructure evolution within hot torsion specimens thermomechanically treated by resistive heating. Validation using non-isothermal deformation tests demonstrates that the model provides realistic simulations at high strain rates, where adiabatic heat modifies temperature, flow stress and microstructure. This study demonstrates the intrinsic correlation between microstructure, flow behavior, and workpiece geometry, considering the impact of deformation history in thermomechanical processes.</p>